Quantitative tree cover reconstruction during the past 2000 years in the central–northern parts of the Daxing'an Mountains, northeast China. (1st February 2023)
- Record Type:
- Journal Article
- Title:
- Quantitative tree cover reconstruction during the past 2000 years in the central–northern parts of the Daxing'an Mountains, northeast China. (1st February 2023)
- Main Title:
- Quantitative tree cover reconstruction during the past 2000 years in the central–northern parts of the Daxing'an Mountains, northeast China
- Authors:
- Sun, Sihan
Li, Yiyin - Abstract:
- Abstract: Reconstructing the history of tree cover and exploring the relationship between forest growth and environmental factors are of great significance for predicting future vegetation changes and guiding ecosystem restoration and protection. On the basis of pollen data of two lake cores and three peat profiles in the central–northern parts of the Daxing'an Mountains and using multiple methods, we quantitatively reconstructed the tree cover of the past 2000 years. We found that the reconstruction results of the different methods are quite similar. Among all these methods, random forest had the highest prediction accuracy for modern pollen samples. Therefore, the random forest reconstruction results can better reflect changes in regional tree cover, which was approximately 38%–42% during 2000–200 Cal yr BP. It then obviously increased from a low value of approximately 40% to a modern level of approximately 45%. The precipitation and carbon dioxide (CO2 ) concentration were the main drivers for the tree cover before and after 200 Cal yr BP, respectively. This indicates that environments with elevated CO2 level in the near future will benefit the growth of vegetation in the central–northern parts of the Daxing'an Mountains. Highlights: Tree cover over the past 2000 years was reconstructed using multiple methods. CO2 concentration and precipitation were found to influence tree cover change. Rapid increase in tree cover after 200 Cal yr BP was linked to CO2 concentration.
- Is Part Of:
- Quaternary science reviews. Volume 301(2023)
- Journal:
- Quaternary science reviews
- Issue:
- Volume 301(2023)
- Issue Display:
- Volume 301, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 301
- Issue:
- 2023
- Issue Sort Value:
- 2023-0301-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02-01
- Subjects:
- Tree cover reconstruction -- Vegetation dynamics -- 2ka -- pCO2 -- Pollen -- Climate -- Daxing'an mountains
Geology, Stratigraphic -- Quaternary -- Periodicals
Stratigraphie -- Quaternaire -- Périodiques
551.79 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02773791 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/quaternary-science-reviews/ ↗ - DOI:
- 10.1016/j.quascirev.2022.107917 ↗
- Languages:
- English
- ISSNs:
- 0277-3791
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7210.220000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25645.xml